PAID PROMOTERS RECOMMENDER

A Recommendation System

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Table of Contents

1. About The Project
2. Built With
3. Powered By
4. Usage
5. Documentations
6. License
7. My System Spec
8. Contact

About The Project

Paid Promoters Recommender project objective is to make a recommendation system that recommends youtube content creators relevant to ads of advertisers with a possibility of viewership could be obtained to their ads. As mentioned, I decided to present this project as a web application, particularly with Reactjs. The proposed system is based on text classification trained model specifically trained with SGD Classifier algorithm, which the model is used to classifies the category of the youtube channel. Then the dataset is made out of these classifications are categorized by Indian regions(Tamil/ Telugu/ Malayalam/ Hindi). These datasets are used to fetch the channel details from Youtube API and also through Web Scraping. All data's are stored and hosted in the Firebase. The system is capable of monitoring the status of the channel every 24 hours to keep the data up to date. MIT licenses this project. If you like this project, give a star and follow me.

Built With

• Reactjs
• Html
• Css
• JavaScript

Powered By

• Youtube API
• Firebase
• Web Scraping
• React Bootstrap
• Chart JS

Usage

Usage of this project is to make advertisers reach their relevant audience and make their investment in ads in a guaranteed way.

Documentations

View Documentations here.

License

Distributed under the MIT License. See LICENSE for more information.

My System Spec

OS: Cutefish
Model: Acer Aspire 5 A515-51G
Processor: Intel i5 7th gen
Ram: DDR4 8gb
Disk: HDD 100gb

Contact

Akash.A,
Computer Science Engineer,
[email protected],
8608550403,
Chennai.

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